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Record W3026705675 · doi:10.1503/cjs.005619

Surgeon clinical practice variation and patient preferences during the informed consent discussion: a mixed-methods analysis in lumbar spine surgery

2020· article· en· W3026705675 on OpenAlexaffvenueabout
Ali Zahrai, Kunal Bhanot, Xin Y. Mei, Eric J. Crawford, Zachary Tan, Albert Yee, Valerie A. Palda

Bibliographic record

VenueCanadian Journal of Surgery · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineInformed consentLumbar spineSurgeryPhysical therapyGeneral surgeryAlternative medicinePathology

Abstract

fetched live from OpenAlex

Surgeon clinical practice variation and patient preferences during the informed consent discussion: a mixed-methods analysis in lumbar spine surgeryBackground: Patients with lumbar disc herniation may greatly benefit from microdiscectomy.Although spine surgeons performing microdiscectomy routinely obtain informed consent, the potential adverse events they disclose often vary.Moreover, little is known about what disclosures are deemed most valuable by patients.The aim of this mixed-methods study was to determine practice variations among spine surgeons in regard to the disclosure of potential adverse events during informed consent discussions for lumbar microdiscectomy and to determine which topics patients perceived to be valuable in the consent discussion.Methods: A survey evaluating the frequency with which spine surgeons disclose 15 potential adverse events related to lumbar microdiscectomy during informed consent discussions was distributed among Canadian Spine Society members.Additionally, semi structured interviews were conducted with preoperative patients, postoperative patients, attending spine surgeons, spine fellows and orthopedic residents.Interview transcripts were analyzed using thematic analysis with open coding.Results: Fifty-one Canadian Spine Society members completed the survey.The number of potential adverse events not routinely discussed was greater among orthopedic surgeons than among neurosurgeons (relative risk 1.83; 95% confidence interval 1.22-2.73;p = 0.003).Three preoperative patients, 7 postoperative patients, 6 attending spine surgeons, 3 spine fellows and 5 orthopedic residents participated in the semi structured interviews.The interviews identified gaps in information provided to patients, particularly on topics relating to postoperative care such as expected recovery time, activity restrictions and need for a caregiver.Conclusion: There is variation in the disclosure of potential adverse events during informed consent discussions for lumbar microdiscectomy among Canadian spine surgeons.Patients desire more information regarding their postoperative care.Further research should focus on developing guidelines to reduce practice variation and optimize the effectiveness of consent discussions.Contexte : Les patients atteints d'une hernie discale lombaire pourraient profiter grandement d'une microdiscectomie.Bien que les chirurgiens spécialistes de la colonne vertébrale réalisant des microdiscectomies obtiennent toujours le consentement éclairé du patient, les événements indésirables potentiels présentés varient souvent.De plus, on en connaît peu sur les informations les plus importantes du point de vue des patients.L'objectif de cette étude à méthodes mixtes était de déterminer les différentes pratiques des chirurgiens en ce qui a trait à la présentation des événements indésirables potentiels pendant les discussions sur le consentement éclairé pour les microdiscectomies lombaires et de déterminer les sujets les plus importants pour les patients pendant ces discussions.Méthodes : Un sondage sur la fréquence à laquelle les chirurgiens présentent 15 événements indésirables potentiels associés à la microdiscectomie lombaire pendant les discussions sur le consentement éclairé a été distribué aux membres de la Société canadienne du rachis.De plus, des entretiens semi-dirigés ont été réalisés auprès de patients en période préopératoire, de patients en période postopératoire, de chirurgiens spécialistes de la colonne vertébrale, de fellows en chirurgie spinale et de résidents en chirurgie orthopédique.Des analyses thématiques utilisant un code ouvert ont été réalisées sur les transcriptions des entretiens.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.182
metaresearch head score (Gemma)0.327
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.963

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1820.327
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0070.008
Science and technology studies0.0040.006
Scholarly communication0.0070.006
Open science0.0030.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.300
GPT teacher head0.465
Teacher spread0.165 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations12
Published2020
Admission routes3
Has abstractyes

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